Abstract
This article presents a vision where real-time digital twins of the physical wireless environments are continuously updated using multi-modal sensing data from the distributed infrastructure and user devices, and are used to make communication and sensing decisions. This vision is mainly enabled by advances in precise 3D maps, multi-modal sens-ing, ray-tracing computations, and machine/deep learning. This article details this vision, explains the different approaches for constructing and utilizing these real-time digital twins, discusses the applications and open problems, and presents a research platform that can be used to investigate various digital twin research directions.
Original language | English (US) |
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Pages (from-to) | 128-134 |
Number of pages | 7 |
Journal | IEEE Communications Magazine |
Volume | 61 |
Issue number | 11 |
DOIs | |
State | Published - Nov 1 2023 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Computer Science Applications